A Framework for Biometric and Interaction Performance Assessment of Automated Border Control Processes

Abstract

Abstract-Automated Border Control (ABC) in airports and land crossings utilise automated technology to verify passenger identity claims. Accuracy, interaction stability, user error and the need for a harmonised approach to implementation is required. Two models proposed in this paper establish a global path through ABC processes. The first, the Generic Model, maps separately the enrolment and verification phases of an ABC scenario. This allows a standardisation of the process and an exploration of variances and similarities between configurations across implementations. The second, the Identity Claim Process, decomposes the verification phase of the Generic Model to an enhanced resolution of ABC implementations. Harnessing a Human-Biometric Sensor Interaction framework allows the identification and quantification of errors within the system's use, attributing these errors to either system performance or human interaction. Data from a live operational scenario is used to analyse behaviours, which aid in establishing what effect these have on system performance. Utilising the proposed method will aid already established methods in improving the performance assessment of a system. Through analysing interactions and possible behavioural scenarios from the live trial, it was observed that 30.96% of interactions included some major user error. Future development using our proposed framework will see technological advances for biometric systems that are able to categorise interaction errors and feedback appropriately.

Biometrics: Accessibility challenge or opportunity?

“…Though there are several works on usability in biometrics, such as [ 5 ]–[ 7 ], there are only a few previous works in the area, as accessibility has not still gained too much attention in biometric recognition systems [ 8 ]. Previous studies highlight the main difficulties that people with accessibility concerns may face when interacting with biometrics [ 3 ].…”

Cognitive Identity Management: Risks, Trust and Decisions using Heterogeneous Sources

“…Sources of information can have dual or multiple roles over the states. 2) Time limits of the operations place certain constraints on the sytem performance [28], [31], [45]. An example is a security problem known as the "bottleneck" and "traveler redress".…”

“…The future generation security checkpoint for mass-transit hubs and large public events is anticipated to be a system that combines: biometric-enabled authentication [12], [19], [31], [45] and watchlist check [32], screening strategies [37], deception feature detection [1], [41], [43], [55], as well as concealed illicit item detection [38], [53]. Such a system will be an integral part of the security infrastructure, including logistics and surveillance network with abilities of tracking individuals-of-interest and analyzing the group behavior.…”

Multiple classifiers in biometrics. Part 2: Trends and challenges

“…There has been some research in the past to analyze those factors between the user and the biometric sensor in general [76], including specific models to analyze and exploit the interaction between the user and the biometric sensor [77]. More recently, we can see some targeted studies towards understanding the interaction between users and technology for key biometric end applications like border control [78], or smartphone unlock [79].…”